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学习Python的4个理由(即使你不想成为开发者)

2024/12/2 20:00:17
Python是一种简单易懂的编程语言,适合初学者,适用于多种领域,包括数据科学、自动化、游戏开发和创意编程。它可以帮助用户自动化日常任务,提高工作效率,并为各种职业增添价值。无论是否打算进入开发领域,学习Python都是一个值得考虑的选择。
学习Python的4个理由(即使你不想成为开发者)
关键要点 Python 提供简单易懂的语法和可读性,使其成为初学者的理想选择。其适用范围远不止于开发,还涵盖了数据科学、自动化、游戏开发和创意编程。Python 的自动化能力可以简化日常任务,并为各种职业增添价值,无论行业如何。如果你曾考虑学习Python,但因为不打算进入开发领域而没有行动,那么现在是时候重新考虑了。Python的应用领域广泛,有趣的小实验和个人应用场景众多。以下是今天开始学习Python的所有理由。“无重复广告:每个条目可重复。区域:内容为本地。 ✕ 移除广告”

1 Python 对初学者友好

不可重复的广告:每个条目可重复。Python 被广泛认为是最适合初学者的编程语言之一,因此即使是没有编程经验的人也完全可以选择它。Python 的语法简单易懂,且与日常语言相似,因此对于新手来说比其他语言更不具挑战性。你不需要担心复杂的语法或过多的技术术语就能开始学习,这使得学习曲线更加平缓。不可重复的广告:每个条目可重复。区域:每个条目可重复。 ✕ 移除广告一个“Hello, World!”程序传统上是初学者学习的第一个程序。让我们比较一下在Python和C语言中它看起来是如何不同的。这是在C语言中的样子:不重复的广告位:每个条目可重复。 #includeint main() {printf("Hello, World!\n");return 0;}

Now compare it to what it looks like in Python:

No repeatable ad for zone: every entry repeatable. print("Hello, World!")

In many other languages, a similar program might require multiple lines to set up, making it less intuitive for beginners. Python cuts out that extra complexity, allowing you to focus on learning core concepts rather than the language’s technical requirements. Python’s code is often described as being close to natural language, meaning it’s easier to read and understand, even if you’re new to programming.

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Python is also easy to set up and start using. Unlike some languages that require extensive installation steps, complicated development environments, or dealing manually with PATH variables, Python can be installed and run from simple text editors or online platforms like Jupyter Notebook or Google Colab.

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2 It's a Versatile Language

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One of Python’s biggest strengths is its versatility. Thanks to its extensive library ecosystem, Python can be used for a wide range of applications beyond traditional software development. From data science and AI to web development, automation, and even cybersecurity, Python’s flexibility allows people from different fields to capitalize on its power for their specific needs. This makes Python incredibly valuable, even if you don’t plan to become a professional developer.

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Python is the language of choice for data science and machine learning (ML). With libraries like Pandas, NumPy, and Matplotlib, you can handle data manipulation, statistical analysis, and visualization with ease. Libraries such as scikit-learn, TensorFlow, and PyTorch make implementing machine learning models accessible for beginners and professionals alike.

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Python is perfect for automating repetitive tasks, making it valuable for professionals in nearly any field. Whether it’s renaming files in bulk, sending automated emails, reading/writing files, or managing spreadsheets, Python can help save time and streamline workflows.

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Python isn’t limited to purely technical applications. It’s also used in creative fields like game development and creative coding. With libraries like Pygame, you can create 2D games and interactive applications, even if you’re new to coding.

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3 You Can Automate Your Daily Work

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As I mentioned before, Python’s simplicity and extensive libraries make it ideal for automating repetitive tasks. The good part is that you don’t need to be a programmer to get started with basic automation, either. Even with minimal Python knowledge, you can automate common tasks like managing files, working with Excel, sending emails, or working with images.

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For example, if you frequently download files and your Downloads folder becomes cluttered, Python can help you automatically organize files by type (let's say, documents, images, videos.) With just a few lines of code, you can create folders for each file type and move files accordingly.

No repeatable ad for zone: every entry repeatable. import osimport shutilfolder_to_organize = "/path/to/your/downloads/folder"file_types = {   "Documents": [".pdf", ".docx", ".txt"],   "Images": [".jpg", ".jpeg", ".png"],   "Videos": [".mp4", ".mov", ".avi"]}for filename in os.listdir(folder_to_organize):   file_path = os.path.join(folder_to_organize, filename)   if os.path.isfile(file_path):       for folder, extensions in file_types.items():           if any(filename.endswith(ext) for ext in extensions):               folder_path = os.path.join(folder_to_organize, folder)               os.makedirs(folder_path, exist_ok=True)               shutil.move(file_path, folder_path)               break

This script scans the specified folder, checks the file type, and moves each file into its designated folder. Now, instead of manually sorting files, you can run this script whenever you need to organize your downloads, saving you time and keeping your workspace clutter-free.

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4 It Can Add Value to Your Career

Whether you're planning to start your career in tech, automate some of the tasks you're already doing in your job, or plan to do a career switch, Python could help you gain the upper hand. I'll be honest: I’m not a full-time developer, but picking up Python opened doors I didn’t even know existed. I use it frequently to create small projects that help my daily life and work. I mostly use Python to deal with analyzing image files, web pentesting, and testing machine learning models.

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The best part? You don't even have to work in tech to benefit from Python. Suppose, you work in marketing and want to analyze website traffic or customer data to make data-driven decisions. Python allows you to gather, clean, and visualize data on your own. There are many Python libraries that will allow you to analyze customer trends and spot patterns, as well as present insights to your team, making you a more informed and influential contributor.

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So, even if you don’t plan to enter the tech field, having Python in your toolkit shows that you’re adaptable and resourceful. Employers love seeing candidates who can streamline workflows, analyze data, or even just come up with creative solutions to everyday problems. It’s one of those skills that quietly makes you indispensable.

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Python is a fun language to learn and work with. Besides, you could use it for all kinds of work. If you're interested in learning, start with the basics, such as knowing the important Python terms. Once you have the hang of it, start building small projects like a quiz app or a simple chatbot.

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